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Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
---|---|---|---|---|---|---|
Linear Algebra | FEF105 | Compulsory | Bachelor's degree | 1 | Fall | 3 |
Prof. Dr. Halis AYGÜN
Prof. Dr. Abdülkadir AYGÜNOĞLU
Prof. Dr. İrem BAĞLAN
Prof. Dr. Ali DEMİR
Prof. Dr. Vildan GÜLKAÇ
Prof. Dr. Çiğdem GÜNDÜZ
Prof. Dr. Zahir MURADOĞLU
Prof. Dr. Neşe ÖMÜR
Prof. Dr. Serdal PAMUK
Associate Prof. Dr. Arzu AKGÜL
Associate Prof. Dr. Mine Aylin BAYRAK
Associate Prof. Dr. Arzu COŞKUN
Associate Prof. Dr. Selda ÇALKAVUR
Associate Prof. Dr. Vildan ÇETKİN
Associate Prof. Dr. Evrim GÜVEN
Associate Prof. Dr. İlim KİŞİ
Associate Prof. Dr. Hülya KODAL SEVİNDİR
Associate Prof. Dr. Sibel KOPARAL
Associate Prof. Dr. Günay ÖZTÜRK
Associate Prof. Dr. Banu PAZAR VAROL
Associate Prof. Dr. Yücel TÜRKER ULUTAŞ
Assistant Prof. Dr. Metin BAYRAK
Assistant Prof. Dr. Ahmet ZOR
Lecturer Aynur ERDEK
Lecturer Mevlüt SEVİNDİR
Research Assistant Ebru AYDOĞDU
Research Assistant Dr. İrem ÇAY
Research Assistant Dr. Gülcan ÖZKUM
1) Identify fundamental notions on linear algebra
2) Do algebraic calculations with matrices
3) Define transpose, minor, cofactor, adjoint, matrix varieties (symmetric, idempotent, etc)
4) State the methods to find the inverse of a matrix
5) Calculate the determinant of a matrix
6) Determine the rank of a given matrix
7) State solution methods of linear systems via matrices and determinants
8) State definition of a vector space, linear independancy, basis and dimension notions
9) Calculate eigenvalues and eigenvectors
Program Competencies | ||||||||||||||||||||
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | ||
Learning Outcomes | ||||||||||||||||||||
1 | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | |
2 | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | |
3 | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | |
4 | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | |
5 | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | |
6 | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | |
7 | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | |
8 | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | |
9 | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low |
Face to Face
None
Not Required
This lesson covers fundamental notions, linear systems and solutions via Gaussian method, matrices and algebraic calculations, varieties of matrices, transpose, inverse, determinant of a matrix, equivalent matrices, rank notion, minor and cofactor notions,solution of linear systems via matrices and determinant methods, MATLAB presentations,vector spaces, linear independency, basis and dimension, eigenvalues and eigenvectors.
1) Lecture
2) Modelling
3) Group Study
4) Lab / Workshop
5) Project Based Learning
Contribution of Midterm Examination to Course Grade |
20% |
---|---|
Contribution of Final Examination to Course Grade |
80% |
Total |
100% |
Turkish
Not Required